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Exploring advanced mathematical concepts in quantum computing for algorithm enhancement

Shabina Jamee ModiArchana R. PanhalkarDepartment of Artificial Intelligence & Data Science, Amrutvahini College of Engineering, Sangamner, Maharashtra, 422608, IndiaNatasha MartinSymbiosis Law School Pune (SLS-P), Symbiosis Centre for Advanced Legal Studies and Research (SCALSAR), Symbiosis International (Deemed University), Pune, Maharashtra, 411014, IndiaDr. Prof. Pallavi BaviskarDepartment of Computer Engineering, Sandip Foundation, Sandip Institute of Engineering and Management, Nashik, Maharashtra, 422213, IndiaTanveer Ahmad WaniDepartment of Physics, Noida International University, Greater Noida, Uttar Pradesh, 203201, IndiaErkin KholiyarovDepartment of Information Technology and Exact Sciences, Termez University of Economics and Service, Termez, 190100, Uzbekistan
2026en
ABI

Annotatsiya

With this research, the design and performance of quantum programs will be enhanced by investigating the higher mathematical concepts that underlie quantum computers. The goals of the study also include better error correction and the creation of a more insightful perspective of quantum coupling as well as easier construction of quantum circuits through the integration of the complex theories such as group theory, topology, and operator theory. It demonstrates the way these mathematical infrastructure may contribute significantly to the performance of algorithms and fault tolerance via the analysis of theory and case studies. Moreover, the findings indicate the value of advanced mathematics in overcoming the existing issues and make room to more stable and scalable quantum computing solutions.

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